Mindlance
Overview
Position Title:
Python Data Engineer (Python + AWS + PySpark)
Location:
Fully onsite in McLean, VA
Duration:
3 months
Must Have Qualifications
PySpark/Python based microservices, AWS EKS, PostgreSQL database, Behave/Cucumber for automation, PyTest, Snowflake, Jenkins, SonarQube and Fortify. Experience with Freddie (Freddie) is a strong plus.
Responsibilities
Development of microservices based on Python, PySpark, AWS EKS, and AWS PostgreSQL for a data-oriented modernization project.
New System: Python and PySpark, AWS PostgreSQL DB, Behave/Cucumber for automation, and Pytest.
Perform system, functional and data analysis on the current system and create technical/functional requirement documents.
Current System: Informatica, SAS, AutoSys, DB2.
Write automated tests using Behave/Cucumber, based on the new microservices-based architecture.
Promote top code quality and solve issues related to performance tuning and scalability.
Strong skills in DevOps, Docker/container-based deployments to AWS EKS using Jenkins and experience with SonarQube and Fortify.
Able to communicate and engage with business teams and analyze the current business requirements (BRS documents) and create necessary data mappings.
Preferred strong skills and experience in reporting applications development and data analysis.
Knowledge in Agile methodologies and technical documentation.
Qualifications
Strong proficiency in Python and PySpark
Experience with AWS EKS, PostgreSQL, and data-centric modernization projects
Automation testing with Behave/Cucumber and PyTest
Experience with Snowflake, Jenkins, SonarQube, and Fortify
DevOps experience with Docker/container deployments to AWS
Ability to communicate with business teams, analyze requirements, and create data mappings
Knowledge of Agile methodologies and technical documentation
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
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Python Data Engineer (Python + AWS + PySpark)
Location:
Fully onsite in McLean, VA
Duration:
3 months
Must Have Qualifications
PySpark/Python based microservices, AWS EKS, PostgreSQL database, Behave/Cucumber for automation, PyTest, Snowflake, Jenkins, SonarQube and Fortify. Experience with Freddie (Freddie) is a strong plus.
Responsibilities
Development of microservices based on Python, PySpark, AWS EKS, and AWS PostgreSQL for a data-oriented modernization project.
New System: Python and PySpark, AWS PostgreSQL DB, Behave/Cucumber for automation, and Pytest.
Perform system, functional and data analysis on the current system and create technical/functional requirement documents.
Current System: Informatica, SAS, AutoSys, DB2.
Write automated tests using Behave/Cucumber, based on the new microservices-based architecture.
Promote top code quality and solve issues related to performance tuning and scalability.
Strong skills in DevOps, Docker/container-based deployments to AWS EKS using Jenkins and experience with SonarQube and Fortify.
Able to communicate and engage with business teams and analyze the current business requirements (BRS documents) and create necessary data mappings.
Preferred strong skills and experience in reporting applications development and data analysis.
Knowledge in Agile methodologies and technical documentation.
Qualifications
Strong proficiency in Python and PySpark
Experience with AWS EKS, PostgreSQL, and data-centric modernization projects
Automation testing with Behave/Cucumber and PyTest
Experience with Snowflake, Jenkins, SonarQube, and Fortify
DevOps experience with Docker/container deployments to AWS
Ability to communicate with business teams, analyze requirements, and create data mappings
Knowledge of Agile methodologies and technical documentation
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
#J-18808-Ljbffr